Загрузка видео...

Не удалось загрузить видео

На главную

A free MIT course about deep learning, 2026 edition: Here, MIT CSAIL researcher Alexander Amini discusses the differences between supervised, unsupervised, & reinforcement learning approaches (Lecture 5).

MIT_CSAIL's profile picture

MIT CSAIL

346,739 subscribers

17,174 просмотров • 12 дней назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Free MIT course breaks down foundation models & genAI: Here, CSAIL researcher & lead lecturer Rickard Brüel Gabrielsson discusses AGI & a key innovation behind AI systems: learning from observation (Lecture 1).
2:04

Free MIT course breaks down foundation models & genAI: Here, CSAIL researcher & lead lecturer Rickard Brüel Gabrielsson discusses AGI & a key innovation behind AI systems: learning from observation (Lecture 1).

MIT CSAIL

11,973 просмотров • 10 месяцев назад

A free MIT course about building scalable & high-performance software systems: (v/MIT OpenCourseWare) Here, MIT prof. & CSAIL principal investigator Charles Leiserson discusses why performance matters in computing (Lecture 1).
1:22

A free MIT course about building scalable & high-performance software systems: (v/MIT OpenCourseWare) Here, MIT prof. & CSAIL principal investigator Charles Leiserson discusses why performance matters in computing (Lecture 1).

MIT CSAIL

61,054 просмотров • 4 месяцев назад

Free MIT course breaks down deep learning: Here, MIT ass't prof. Sara Beery discusses how it's driven breakthroughs in areas like image generation, coding, & playing games (Lecture 1).
1:28

Free MIT course breaks down deep learning: Here, MIT ass't prof. Sara Beery discusses how it's driven breakthroughs in areas like image generation, coding, & playing games (Lecture 1).

MIT CSAIL

20,433 просмотров • 1 месяц назад

Free Machine Learning with Python Course from IBM Topic covered: - Supervised Learning - Unsupervised Learning - Dimensionality Reduction & Collaborative Filtering 100% FREE Course link 🧵👇
0:34

Free Machine Learning with Python Course from IBM Topic covered: - Supervised Learning - Unsupervised Learning - Dimensionality Reduction & Collaborative Filtering 100% FREE Course link 🧵👇

Afiz ⚡️

59,880 просмотров • 3 лет назад

An introductory course about deep learning, courtesy of MIT:
0:24

An introductory course about deep learning, courtesy of MIT:

MIT CSAIL

23,889 просмотров • 3 месяцев назад

A free MIT course breaking down mathematics for computer science & engineering: (v/MIT OpenCourseWare) Here, MIT prof. Tom Leighton, who is also the CEO & co-founder of Akamai, discusses what a proof is (Lesson 1).
1:37

A free MIT course breaking down mathematics for computer science & engineering: (v/MIT OpenCourseWare) Here, MIT prof. Tom Leighton, who is also the CEO & co-founder of Akamai, discusses what a proof is (Lesson 1).

MIT CSAIL

57,839 просмотров • 6 месяцев назад

Its nice to see the recent excitement around Q-learning! Here's a clip from a video all about Deep Reinforcement Learning, including Deep Q Learning #machinelearning #ai
2:19

Its nice to see the recent excitement around Q-learning! Here's a clip from a video all about Deep Reinforcement Learning, including Deep Q Learning #machinelearning #ai

Steven Brunton

164,993 просмотров • 2 лет назад

A free MIT course breaking down fundamental math concepts in computer science: Here, MIT prof. Erik Demaine breaks down state machines (Lecture 4). v/MIT OpenCourseWare
1:01

A free MIT course breaking down fundamental math concepts in computer science: Here, MIT prof. Erik Demaine breaks down state machines (Lecture 4). v/MIT OpenCourseWare

MIT CSAIL

150,607 просмотров • 10 месяцев назад

Lean Applied Machine Learning for FREE by Cornell University - 80 Lectures - Lecture Notes - Self-paced Learning - 100% FREE Course and Notes link 🧵👇
0:24

Lean Applied Machine Learning for FREE by Cornell University - 80 Lectures - Lecture Notes - Self-paced Learning - 100% FREE Course and Notes link 🧵👇

Python Space

121,264 просмотров • 3 лет назад

This is MIT CSAIL:
2:52

This is MIT CSAIL:

MIT CSAIL

28,678 просмотров • 4 месяцев назад

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning investigated the application of Deep Reinforcement Learning (Deep RL) for low-cost, miniature humanoid hardware in a dynamic environment, showing the method can synthesize sophisticated and safe movement skills making up complex behavioral strategies in a simplified one-versus-one (1v1) soccer game abs: project page:
4:28

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning investigated the application of Deep Reinforcement Learning (Deep RL) for low-cost, miniature humanoid hardware in a dynamic environment, showing the method can synthesize sophisticated and safe movement skills making up complex behavioral strategies in a simplified one-versus-one (1v1) soccer game abs: project page:

AK

293,327 просмотров • 3 лет назад

Watch "Endless experimentation: Building AI models in the wild." This is a 50-minute, MIT lecture about problems when deploying models and LLMs in the real world and how to prepare to solve them. This is a great lecture for those building production machine learning.
54:56

Watch "Endless experimentation: Building AI models in the wild." This is a 50-minute, MIT lecture about problems when deploying models and LLMs in the real world and how to prepare to solve them. This is a great lecture for those building production machine learning.

Santiago

117,204 просмотров • 2 лет назад

DeepMind training bipedal robots to play soccer using deep reinforcement learning.
0:27

DeepMind training bipedal robots to play soccer using deep reinforcement learning.

MachinePix

16,986,224 просмотров • 2 лет назад

Reinforcement learning
0:39

Reinforcement learning

Massimo

3,407,847 просмотров • 2 лет назад

Reinforcement learning experiments continues. Still a bit janky, but it is clearly learning something. This is about an hour into training.
0:49

Reinforcement learning experiments continues. Still a bit janky, but it is clearly learning something. This is about an hour into training.

Dennis Gustafsson

22,362 просмотров • 10 месяцев назад

Φ-SO : Physical Symbolic Optimization - Learning Physics from Data 🧠 The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.
0:20

Φ-SO : Physical Symbolic Optimization - Learning Physics from Data 🧠 The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.

Jousef Murad

433,091 просмотров • 2 лет назад

"Toward General Virtual Agents" I recently gave a talk at MIT. I argued that we should use tools from reinforcement learning and search to improve the capability and alignment of LLM agents. Slides: Video:
48:03

"Toward General Virtual Agents" I recently gave a talk at MIT. I argued that we should use tools from reinforcement learning and search to improve the capability and alignment of LLM agents. Slides: Video:

Stephen McAleer

164,513 просмотров • 2 лет назад

Redwood AI | Mobility Reinforcement Learning
1:01

Redwood AI | Mobility Reinforcement Learning

1X

1,318,162 просмотров • 1 год назад

'Thorough preparation, engaging delivery, active learning, supported by clear, visual-aided, well-structured content.' But enough Google AI. For a good student lecture, how about the human touch? Lecture 4 of Christiana's Mathematical Physiology course:
0:22

'Thorough preparation, engaging delivery, active learning, supported by clear, visual-aided, well-structured content.' But enough Google AI. For a good student lecture, how about the human touch? Lecture 4 of Christiana's Mathematical Physiology course:

Oxford Mathematics

22,656 просмотров • 5 месяцев назад

I took Gilbert Strang’s course at MIT, and it profoundly shaped how I think. One fun memory: an acappella group stormed into class on Valentine’s Day to serenade a student, Prof Strang was thoroughly amused! MIT CSAIL
1:00

I took Gilbert Strang’s course at MIT, and it profoundly shaped how I think. One fun memory: an acappella group stormed into class on Valentine’s Day to serenade a student, Prof Strang was thoroughly amused! MIT CSAIL

Pinar Yanardag @ICML2026

49,996 просмотров • 10 дней назад